Objective
Knowledge workers such as lawyers or software engineers spend 16% of their time searching for information. Over 50% of the times, they do not find exactly what they are looking for. A lot of this time is wasted by employees using solutions that ask “where” the information is, instead of allowing the employee to search for “what” they are looking for. Digital folders mimic the way we have been storing documents for centuries: in drawers. But, does this make sense? 95% of docs contain written down ideas. So why don't we treat these written ideas like we do the ideas in our brain?
Intranetum mimics the brain in order to connect the common dots in knowledge. In this way, instead of a traditional folder-based filing system, Intranetum provides a context-based filing system based on AI technologies, mainly Deep Learning. Intranetum is the first SaaS self-learning knowledge environment to connect people with information inside a company. We combine artificial intelligence and smart knowledge management to provide new insights, recommendations and predictions.
The overall objective of the Phase II project is to create more sales by scaling-up the current system with additional features that provide more benefits to users and/or that give us access to a larger user base. The Expected Outcome of the Phase II project will be Intranetum v2.0 that reaches a larger potential user base due to additional functionalities and integrations.
The specific objectives of Phase I Feasibility are: Technological Feasibility Study, Market Assessment, Business Model Assessment, Risk Assessment, IP Assessment, Work Plan for Phase II, Business Plan
Our solution Intranetum is completely European. Of course, we are a European company, but also our beta users are all based in Europe, our team consists of Europeans and our aim is to contribute to Europe being the most successful knowledge economy it can be. Our revenues are likely to come from within Europe at first but we are eager to expand beyond
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- natural sciences computer and information sciences software
- social sciences economics and business business and management business models
- natural sciences computer and information sciences artificial intelligence machine learning deep learning
You need to log in or register to use this function
We are sorry... an unexpected error occurred during execution.
You need to be authenticated. Your session might have expired.
Thank you for your feedback. You will soon receive an email to confirm the submission. If you have selected to be notified about the reporting status, you will also be contacted when the reporting status will change.
Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
-
H2020-EU.2.1.1. - INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Information and Communication Technologies (ICT)
MAIN PROGRAMME
See all projects funded under this programme -
H2020-EU.2.3.1. - Mainstreaming SME support, especially through a dedicated instrument
See all projects funded under this programme
Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
SME-1 - SME instrument phase 1
See all projects funded under this funding scheme
Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) H2020-SMEInst-2016-2017
See all projects funded under this callCoordinator
Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
08037 BARCELONA
Spain
The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.